Essec\Faculty\Model\Profile {#2216
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0 => Essec\Faculty\Model\CareerItem {#2359
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3 => Essec\Faculty\Model\CareerItem {#2362
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4 => Essec\Faculty\Model\CareerItem {#2363
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"fr" => "Charles University"
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"fr" => "République tchèque"
"en" => "Czechia"
]
]
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5 => Essec\Faculty\Model\CareerItem {#2364
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"en" => "France"
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6 => Essec\Faculty\Model\CareerItem {#2365
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"diplomes" => array:2 [
0 => Essec\Faculty\Model\Diplome {#2218
#_index: null
#_id: null
#_source: array:6 [
"diplome" => "DIPLOMA"
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1 => Essec\Faculty\Model\Diplome {#2220
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"fr" => "Diplômes"
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"bio" => array:2 [
"fr" => """
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Vincenzo Vinzi possède un doctorat en statistique et informatique de l'Université Federico II de Naples. </span><span style="background-color:transparent; color:rgb(34, 34, 34)">Il fut professeur de statistique à l'Université Federico II jusqu'en 2007, professeur invité et conférencier dans nombreuses universités et centres de recherche à travers l'Europe, les Etats-Unis et l’Asie.</span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Vincenzo Vinzi est aujourd'hui directeur général de l'ESSEC Business School.</span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Il est l’auteur d’environ 80 articles scientifiques publiés dans les revues internationales, rédacteur associé de revues internationales correspondant à ses domaines de recherche ainsi que rédacteur en chef et coauteur d’ouvrages spécialisés publiés par des maisons d’éditions internationales comme Wiley et Springer.</span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Il a été le lauréat du “Teaching Awards 2005” Pierre Vernimmen - BNP Paribas (catégorie Professeurs visitants) à HEC Paris. Deux de ses publications ont reçu le “Top Cited Article 2005-2010 Award” dans la revue internationale Computational Statistics and Data Analysis publiée par Elsevier.</span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Vincenzo Vinzi a été président de la Société Internationale de la Statistique pour l’Industrie et le Business (ISBIS), du Conseil européen de l'Association Internationale pour la Statistique et l’Informatique (IASC). Il est actuellement membre du conseil de l’ISI (Institut International de Statistique) et de l’IFCS (International Federation of Classification Societies).</span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Vincenzo Vinzi siège aussi aux conseils d’administration de l'Ecole CentraleSupélec, de l'Alliance Française Paris Ile de France (AFPIF), de l’AmCham et de l’Ecole. </span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Il est également membre de l'International Advisory Board de la Solvay Business School, </span><span style="color:rgb(34, 34, 34)">d’ Antai College of Economics and Management, de Shanghai Jiao Tong University et de </span><span style="background-color:transparent; color:rgb(34, 34, 34)">l'International Advisory Council de l'Université Pompeu Fabra - Barcelona School of Management. Il est membre d’honneur du board de France Digitale.</span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Il fait partie des équipes d'évaluation d'EQUIS et de l'AACSB dont il est aussi président du conseil consultatif européen. A compter du 1er juillet 2024 il sert un mandat d’un an en tant que membre du “</span><span style="color:rgb(34, 34, 34)">Business Accreditation Policy Committee” de l’AACSB. </span><span style="background-color:transparent; color:rgb(34, 34, 34)">Il est aussi membre du programme "Business for Inclusive Growth" (B4IG) de l’OCDE. </span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">En mars 2024, il a été réélu pour un second mandat en tant que Vice-Président de la Conférence des Directeurs d'Ecoles Françaises de Management (CDEFM) avant d’en devenir Président par intérim en juillet 2024. Enfin, Vincenzo Vinzi est président de la Commission Diversité de la CGE et du Concours Sésame.</span></p>\n
"""
"en" => """
<p><span style="color:rgb(34, 34, 34)">Vincenzo Vinzi has been the Dean and President of ESSEC Business School since January </span><span style="color:rgb(34, 34, 34)">2018. </span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">Born in 1970, he was a professor of statistics at the University of Naples Federico II in Italy </span><span style="color:rgb(34, 34, 34)">and has been a visiting professor and lecturer at several universities and research centers </span><span style="color:rgb(34, 34, 34)">throughout Europe, the United States and Asia. He holds a Doctorate in Computational </span><span style="color:rgb(34, 34, 34)">Statistics from the University of Naples Federico II as well as a Master’s in Business and </span><span style="color:rgb(34, 34, 34)">Economics from the same institution. In 2007 he joined ESSEC as a professor of statistics </span><span style="color:rgb(34, 34, 34)">and was elected Dean of Faculty in December 2011. As the Dean of Academic Affairs, and </span><span style="color:rgb(34, 34, 34)">consequently a member of ESSEC's Executive Committee, he was responsible for the </span><span style="color:rgb(34, 34, 34)">management and development of the faculty. </span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">Recognized internationally for his expertise, Vinzi is the author of approximately 80 scientific </span><span style="color:rgb(34, 34, 34)">articles that have received more than 19,000 citations, published in international journals on </span><span style="color:rgb(34, 34, 34)">topics ranging from Big Data to Business Analytics. </span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">Between 2012 and 2015, Vincenzo Vinzi </span><span style="color:rgb(34, 34, 34)">served as President of the International Society of Business and Industrial Statistics (ISBIS). </span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">Mr. Vinzi sits on several Boards of Directors : CentraleSupélec Engineering School, the </span><span style="color:rgb(34, 34, 34)">Alliance Française Ile-de-France Paris (AFPIF), the American Chamber of Commerce in </span><span style="color:rgb(34, 34, 34)">France, the Conférence des Grandes Ecoles (CGE) and l’Ecole.</span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">He is a member of the International Advisory Board of Solvay Business School and Antai </span><span style="color:rgb(34, 34, 34)">College of Economics and Management, Shanghai Jiao Tong University. He is also a member </span><span style="color:rgb(34, 34, 34)">of the International Advisory Council of Universitat Pompeu Fabra - Barcelona School of </span><span style="color:rgb(34, 34, 34)">Management and he is honorary member of the board of France Digitale.</span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">Professor Vinzi serves as a member of the EQUIS and AACSB peer review teams and he is </span><span style="color:rgb(34, 34, 34)">chair of the AACSB European Advisory Council. Since July 1, 2024 he has been serving a </span><span style="color:rgb(34, 34, 34)">one-year term on the Business Accreditation Policy Committee (BAPC) of the AACSB.</span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">He is also a member of the OECD Business for Inclusive Growth (B4IG) partnership. Finally, </span><span style="color:rgb(34, 34, 34)">he is president of the Diversity Commission of the CGE and of Concours Sésame, a </span><span style="color:rgb(34, 34, 34)">competitive entrance exam for French business school undergraduate programs, as well as </span><span style="color:rgb(34, 34, 34)">acting President of the CDEFM (Conference of Directors of French Business Schools).</span></p>\n
"""
]
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"industrrySectors" => array:2 [
"fr" => "Services de télécommunications - Hôtellerie et Tourisme - Produits agricoles et alimentaires"
"en" => "Telecommunication Services - Hospitality and Tourism Services - Agricultural and Food Products"
]
"researchFields" => array:2 [
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"en" => "Statistical Data Analysis - Econometrics - Mathematics - Probability Theory & Mathematical Statistics"
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"distinctions" => array:8 [
0 => Essec\Faculty\Model\Distinction {#2366
#_index: null
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#_source: array:6 [
"date" => "1998-01-01"
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}
1 => Essec\Faculty\Model\Distinction {#2367
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#_id: null
#_source: array:6 [
"date" => "2012-07-01"
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"fr" => "Highly Commended Award Winner au Literati Network Awards for Excellence 2012, pour l'article (avec Guy Assaker) intitulé, “Modeling a Causality Network for Tourism Development: An Empirical Analysis” publié dans Journal of Modelling in Management."
"en" => "Literati Network Award for Excellence 2012: Highly Commended Award, for the article “Modeling a Causality Network for Tourism Development: An Empirical Analysis,” Journal of Modelling in Management (co-authored with Guy Assaker)"
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}
2 => Essec\Faculty\Model\Distinction {#2368
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#_id: null
#_source: array:6 [
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"fr" => "Lauréat du prix de l'enseignement "Pierre Vernimmen-BNP Paris Teaching Awards" 2005 à HEC School of Management pour la qualité de la relation pédagogique avec les élèves ( programmes MBA et Doctorants), la méthode d'enseignement, la maîtrise des sujets enseignés, des qualités innovatives de leurs cours et de la qualités des outils d'enseignement utilisés"
"en" => "Winner of the "Pierre Vernimmen-BNP Paris Teaching Awards" 2005 at the HEC School of Management for the quality of the pedagogical relationships with students (MBA and Doctoral programmes), the teaching method, the mastery of the taught subjects, the innovative features of the course and the quality of the used teaching tools"
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+"parent": Essec\Faculty\Model\Profile {#2216}
}
3 => Essec\Faculty\Model\Distinction {#2369
#_index: null
#_id: null
#_source: array:6 [
"date" => "2001-06-13"
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"fr" => "Honoré lors de la cérémonie des prix de l'enseignement "Pierre Vernimmen-BNP Paris" 2001 à HEC School of Management"
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]
]
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}
4 => Essec\Faculty\Model\Distinction {#2370
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#_id: null
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"fr" => "Prix de l'Article le plus cité 2005-2010. Computational Statistics and Data Analysis. PLS Path Modeling, Elsevier"
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5 => Essec\Faculty\Model\Distinction {#2371
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#_id: null
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"fr" => "Prix ISOSS (Islamic Society of Statistical Sciences) en reconnaissance de sa contribution au développement des sciences statistiques"
"en" => "Decorated with the ISOSS (Islamic Society of Statistical Sciences) Award in recognition of his contribution to the development of statistical sciences"
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"fr" => "Pakistan"
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]
]
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}
6 => Essec\Faculty\Model\Distinction {#2372
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"fr" => "Article le plus cité (2005-2010) publié dans la revue “Computational Statistics and Data Analysis”: PLS Generalised Linear Regression, Elsevier"
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7 => Essec\Faculty\Model\Distinction {#2373
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#_id: null
#_source: array:6 [
"date" => "2014-05-28"
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"fr" => "Mention honorable, 8th International Conference on Partial Least Squares and Related Methods, pour son article "Quantile PLS Path Modeling" (avec C. Davino)."
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]
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0 => Essec\Faculty\Model\TeachingItem {#2354
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]
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}
1 => Essec\Faculty\Model\TeachingItem {#2303
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"endDate" => "2015"
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"fr" => ""Composite-based Path Modeling for Multi-Bock Data Analysis", Research Seminar"
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"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università degli Studi di Cagliari"
"en" => "Università degli Studi di Cagliari"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
2 => Essec\Faculty\Model\TeachingItem {#2304
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2014"
"endDate" => "2014"
"program" => null
"label" => array:2 [
"fr" => ""Component-based Path Modeling", Tutoriel pour une audience expérimentée à la 7ème Conférence Internationale du ERCIM Working Group on Computational and Methodological Statistics"
"en" => ""Component-based Path Modeling", Tutorial for specialized audience at the 7th International Conference of the ERCIM Working Group on Computational and Methodological Statistics"Component-based Path Modeling", Tutoriel pour une audience expérimentée à la 7ème Conférence Internationale du ERCIM Working Group on Computational and Methodological Statistics"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "European Research Consortium for Informatics and Mathematics (ERCIM)"
"en" => "European Research Consortium for Informatics and Mathematics (ERCIM)"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
3 => Essec\Faculty\Model\TeachingItem {#2353
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2007"
"endDate" => "2014"
"program" => null
"label" => array:2 [
"fr" => "Four essays on novel heuristic algorithms in data mining with applications in healthcare analytics"
"en" => "Four essays on novel heuristic algorithms in data mining with applications in healthcare analytics"
]
"type" => array:2 [
"fr" => "Directeur de thèse"
"en" => "Thesis director"
]
"institution" => array:2 [
"fr" => "ESSEC Business School"
"en" => "ESSEC Business School"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
4 => Essec\Faculty\Model\TeachingItem {#2305
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2012"
"endDate" => "2012"
"program" => null
"label" => array:2 [
"fr" => ""PLS Path Modeling and PLS Regression", Pré-Conférence, PLS 2012 Doctoral Workshop"
"en" => ""PLS Path Modeling and PLS Regression", Pre-Conference PLS 2012 Doctoral Workshop"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "The Sensometric Society"
"en" => "The Sensometric Society"
]
"country" => array:2 [
"fr" => "États-Unis"
"en" => "United States of America"
]
]
+lang: "en"
}
5 => Essec\Faculty\Model\TeachingItem {#2310
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2012"
"endDate" => "2012"
"program" => null
"label" => array:2 [
"fr" => ""A 3-day Course on PLS Path Modeling: Basic Concepts and Foundations, Advances and Applications". Cours de Formation pour des Chercheurs et Cadres"
"en" => ""A 3-day Course on PLS Path Modeling: Basic Concepts and Foundations, Advances and Applications". Training course for Researchers and Executives"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Association for Information Systems (AIS)"
"en" => "Association for Information Systems (AIS)"
]
"country" => array:2 [
"fr" => "États-Unis"
"en" => "United States of America"
]
]
+lang: "en"
}
6 => Essec\Faculty\Model\TeachingItem {#2306
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2011"
"endDate" => "2011"
"program" => null
"label" => array:2 [
"fr" => ""PLS Predictive Path Models with applications to Customer Satisfaction Measurement and Sensory Data Analysis", ISBIS Sardegna International Statistics Summer School"
"en" => ""PLS Predictive Path Models with applications to Customer Satisfaction Measurement and Sensory Data Analysis", ISBIS Sardegna International Statistics Summer School"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università degli Studi di Cagliari"
"en" => "Università degli Studi di Cagliari"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
7 => Essec\Faculty\Model\TeachingItem {#2307
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2011"
"endDate" => "2011"
"program" => null
"label" => array:2 [
"fr" => ""Statistical Soft Modeling for Measuring Customer Satisfaction via Composite Indicators", Post-graduate course"
"en" => ""Statistical Soft Modeling for Measuring Customer Satisfaction via Composite Indicators", Post-graduate course"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università degli Studi di Cagliari"
"en" => "Università degli Studi di Cagliari"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
8 => Essec\Faculty\Model\TeachingItem {#2358
#_index: null
#_id: null
#_source: array:7 [
"startDate" => null
"endDate" => "2010"
"program" => null
"label" => array:2 [
"fr" => "Four Essays on the Interface between Marketing and Operations in Supply Chain Management"
"en" => "Four Essays on the Interface between Marketing and Operations in Supply Chain Management"
]
"type" => array:2 [
"fr" => "Membre de jury"
"en" => "Thesis jury member"
]
"institution" => array:2 [
"fr" => "ESSEC Business School"
"en" => "ESSEC Business School"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
9 => Essec\Faculty\Model\TeachingItem {#2308
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2010"
"endDate" => "2010"
"program" => null
"label" => array:2 [
"fr" => ""PLS Path Modeling with XLSTAT-PLSPM", Atelier Pré-Conférence Sensometrics'10"
"en" => ""PLS Path Modeling with XLSTAT-PLSPM", Pre-Conference Sensometrics'10 Workshop"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "The Sensometric Society"
"en" => "The Sensometric Society"
]
"country" => array:2 [
"fr" => "Pays-Bas"
"en" => "Netherlands"
]
]
+lang: "en"
}
10 => Essec\Faculty\Model\TeachingItem {#2312
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2010"
"program" => null
"label" => array:2 [
"fr" => "“Regression and Analysis of Variance” – Cours de formation pour les cadres juniors et seniors de EUROSTAT (Statistical Office of the European Union)"
"en" => "“Regression and Analysis of Variance” – Training course for the EUROSTAT (Statistical Office of the European Union) junior and senior executives"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Eurostat"
"en" => "Eurostat"
]
"country" => array:2 [
"fr" => "Luxembourg"
"en" => "Luxembourg"
]
]
+lang: "en"
}
11 => Essec\Faculty\Model\TeachingItem {#2311
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2010"
"program" => null
"label" => array:2 [
"fr" => "“Factor Analysis and Classification” – Cours de formation pour les cadres juniors et seniors de EUROSTAT (Statistical Office of the European Union)"
"en" => "“Factor Analysis and Classification” – Training course for the EUROSTAT (Statistical Office of the European Union) junior and senior executives"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Eurostat"
"en" => "Eurostat"
]
"country" => array:2 [
"fr" => "Luxembourg"
"en" => "Luxembourg"
]
]
+lang: "en"
}
12 => Essec\Faculty\Model\TeachingItem {#2352
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2006"
"endDate" => "2010"
"program" => null
"label" => array:2 [
"fr" => "Insights into tourism demand and tourism behavior: four papers using multiple perspectives and structural equation modeling"
"en" => "Insights into tourism demand and tourism behavior: four papers using multiple perspectives and structural equation modeling"
]
"type" => array:2 [
"fr" => "Directeur de thèse"
"en" => "Thesis director"
]
"institution" => array:2 [
"fr" => "ESSEC Business School"
"en" => "ESSEC Business School"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
13 => Essec\Faculty\Model\TeachingItem {#2313
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => ""A Joint Partial Least Squares Component-based Approach to Structural Equation Modeling and Multi-block Data Analysis" - Institut de Recherche Mathématique Avancée, Université de Strasbourg"
"en" => ""A Joint Partial Least Squares Component-based Approach to Structural Equation Modeling and Multi-block Data Analysis" - Institut de Recherche Mathématique Avancée, Université de Strasbourg"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Université Strasbourg I"
"en" => "Université Strasbourg I"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
14 => Essec\Faculty\Model\TeachingItem {#2357
#_index: null
#_id: null
#_source: array:7 [
"startDate" => null
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => "PATHMOX Approach: Segmentation Trees in Partial Least Squares Path Modeling"
"en" => "PATHMOX Approach: Segmentation Trees in Partial Least Squares Path Modeling"
]
"type" => array:2 [
"fr" => "Rapporteur"
"en" => "Thesis referee"
]
"institution" => array:2 [
"fr" => "Universitat Politècnica de Catalunya"
"en" => "Universitat Politècnica de Catalunya"
]
"country" => array:2 [
"fr" => "Espagne"
"en" => "Spain"
]
]
+lang: "en"
}
15 => Essec\Faculty\Model\TeachingItem {#2309
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => ""A 3-day Course on PLS Path Modeling: Basic Concepts and Foundations, Advances and Applications".Cours de Formation pour des Chercheurs et Cadres"
"en" => ""A 3-day Course on PLS Path Modeling: Basic Concepts and Foundations, Advances and Applications". Training course for Researchers and Executives"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Addinsoft"
"en" => "Addinsoft"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
16 => Essec\Faculty\Model\TeachingItem {#2319
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => "“Component-based Structural Equation Models: the PLS Path Modelling Approach”"
"en" => "“Component-based Structural Equation Models: the PLS Path Modelling Approach”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Sorbonne Université"
"en" => "Sorbonne Université"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
17 => Essec\Faculty\Model\TeachingItem {#2314
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => ""PLS Path Modeling: A Comprehensive Course""
"en" => ""PLS Path Modeling: A Comprehensive Course""
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Lillehammer University College"
"en" => "Lillehammer University College"
]
"country" => array:2 [
"fr" => "Norvège"
"en" => "Norway"
]
]
+lang: "en"
}
18 => Essec\Faculty\Model\TeachingItem {#2315
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => ""PLS Path Modeling: Methodological Foundations, Recent Developments and Software Applications" - Tutoriel à 6th International Conference on Partial Least Squares and Related Methods"
"en" => ""PLS Path Modeling: Methodological Foundations, Recent Developments and Software Applications" - Tutorial at the 6th International Conference on Partial Least Squares and Related Methods"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Peking University"
"en" => "Peking University"
]
"country" => array:2 [
"fr" => "Chine"
"en" => "China"
]
]
+lang: "en"
}
19 => Essec\Faculty\Model\TeachingItem {#2316
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => "“PLS Path Modeling for Consumer Analysis: estimation algorithm, assessment tools and applications with XLSTAT-PLSPM software” Summer School de la Italian Statistical Society (SIS) sur PLS Methods for Structured Data Tables in Consumer Analysis"
"en" => "“PLS Path Modeling for Consumer Analysis: estimation algorithm, assessment tools and applications with XLSTAT-PLSPM software” Summer School of the Italian Statistical Society (SIS) on PLS Methods for Structured Data Tables in Consumer Analysis"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Macerata"
"en" => "Università di Macerata"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
20 => Essec\Faculty\Model\TeachingItem {#2318
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#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => "“A Comprehensive PLS-based Environment to Structural Equation Modeling”"
"en" => "“A Comprehensive PLS-based Environment to Structural Equation Modeling”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Conservatoire National des Arts & Métiers (CNAM)"
"en" => "Conservatoire National des Arts & Métiers (CNAM)"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
21 => Essec\Faculty\Model\TeachingItem {#2317
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
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"label" => array:2 [
"fr" => "“The PLS Path Modeling approach to Structural Equation Modeling: Methodological Foundations, Recent Decelopments and Software Applications” Tutoriel à la 11th Conference of the International Federation of Classification Societies (IFCS)"
"en" => "“The PLS Path Modeling approach to Structural Equation Modeling: Methodological Foundations, Recent Decelopments and Software Applications” Tutorial at the 11th Conference of the International Federation of Classification Societies (IFCS)"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "International Federation of Classification Societies (IFCS)"
"en" => "International Federation of Classification Societies (IFCS)"
]
"country" => array:2 [
"fr" => "Allemagne"
"en" => "Germany"
]
]
+lang: "en"
}
22 => Essec\Faculty\Model\TeachingItem {#2320
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => ""A Comprehensive PLS Environment to Structural Equation Modeling""
"en" => ""A Comprehensive PLS Environment to Structural Equation Modeling""
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
23 => Essec\Faculty\Model\TeachingItem {#2356
#_index: null
#_id: null
#_source: array:7 [
"startDate" => null
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => "Unobserved Heterogeneity in Structural Equation Models: a new approach to latent class detection in PLS Path Modeling"
"en" => "Unobserved Heterogeneity in Structural Equation Models: a new approach to latent class detection in PLS Path Modeling"
]
"type" => array:2 [
"fr" => "Directeur de thèse"
"en" => "Thesis director"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
24 => Essec\Faculty\Model\TeachingItem {#2325
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => "“Introduction to Categorical Data Analysis: Chi-square test of independence for cross-tabs, binary correspondence analysis for the association between two categorical variables, multiple correspondence analysis for the analysis of survey data” – Cours de formation pour les cadres juniors et seniors de EUROSTAT (Statistical Office of the European Union)"
"en" => "“Introduction to Categorical Data Analysis: Chi-square test of independence for cross-tabs, binary correspondence analysis for the association between two categorical variables, multiple correspondence analysis for the analysis of survey data” – Training course for the EUROSTAT (Statistical Office of the European Union) junior and senior executives"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Eurostat"
"en" => "Eurostat"
]
"country" => array:2 [
"fr" => "Luxembourg"
"en" => "Luxembourg"
]
]
+lang: "en"
}
25 => Essec\Faculty\Model\TeachingItem {#2327
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => "“Path Analysis, Confirmatory Factor Analysis and Structural Equation Modelling”"
"en" => "“Path Analysis, Confirmatory Factor Analysis and Structural Equation Modelling”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Sorbonne Université"
"en" => "Sorbonne Université"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
26 => Essec\Faculty\Model\TeachingItem {#2326
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => "“Statistical Modelling for Measuring Customer Satisfaction”"
"en" => "“Statistical Modelling for Measuring Customer Satisfaction”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università degli Studi di Cagliari"
"en" => "Università degli Studi di Cagliari"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
27 => Essec\Faculty\Model\TeachingItem {#2324
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => "“Component-based Structural Equation Models” – Journées d'Etudes en Statistique (JES) de la Société Française de Statistique (SFdS)"
"en" => "“Component-based Structural Equation Models” – Journées d'Etudes en Statistique (JES) of the Société Française de Statistique (SFdS)"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Société Française de Statistique (SFdS)"
"en" => "Société Française de Statistique (SFdS)"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
28 => Essec\Faculty\Model\TeachingItem {#2323
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => "“Local Model in Component-based SEM” – Journées d'Etudes en Statistique (JES) de la Société Française de Statistique (SFdS)"
"en" => "“Local Model in Component-based SEM” – Journées d'Etudes en Statistique (JES) of the Société Française de Statistique (SFdS)"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Société Française de Statistique (SFdS)"
"en" => "Société Française de Statistique (SFdS)"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
29 => Essec\Faculty\Model\TeachingItem {#2322
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
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"label" => array:2 [
"fr" => ""Model assessment and multi-group comparison in PLS Path Modeling: methodological foundations and the XLSTAT-PLSPM software""
"en" => ""Model assessment and multi-group comparison in PLS Path Modeling: methodological foundations and the XLSTAT-PLSPM software""
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
30 => Essec\Faculty\Model\TeachingItem {#2321
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => ""Detection and Assessment of Local Models in PLS Path Modeling""
"en" => ""Detection and Assessment of Local Models in PLS Path Modeling""
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
31 => Essec\Faculty\Model\TeachingItem {#2329
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2007"
"endDate" => "2007"
"program" => null
"label" => array:2 [
"fr" => "“PLS Path Modeling for Causal Networks: Recent Contributions with Applications to Customer Satisfaction Surveys and Sensory Data Analysis”– Séminaire de Recherche, Département Marketing, à HEC Paris"
"en" => "“PLS Path Modeling for Causal Networks: Recent Contributions with Applications to Customer Satisfaction Surveys and Sensory Data Analysis”– Research Seminar – Marketing Department at the HEC School of Management,"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "HEC Paris"
"en" => "HEC Paris"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
32 => Essec\Faculty\Model\TeachingItem {#2330
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2007"
"endDate" => "2007"
"program" => null
"label" => array:2 [
"fr" => "“Recent Contributions to PLS (Partial Least Squares) Regression and Path Modeling for the Analysis of Dependence Relationships, Causal Networks and Multiple Tables”– Séminaire de Recherche"
"en" => "“Recent Contributions to PLS (Partial Least Squares) Regression and Path Modeling for the Analysis of Dependence Relationships, Causal Networks and Multiple Tables”– Research Seminar"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "HEC Paris"
"en" => "HEC Paris"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
33 => Essec\Faculty\Model\TeachingItem {#2355
#_index: null
#_id: null
#_source: array:7 [
"startDate" => null
"endDate" => "2007"
"program" => null
"label" => array:2 [
"fr" => "Contribution aux modèles d'équations tructurelles à variables latentes"
"en" => "Contribution aux modèles d'équations tructurelles à variables latentes"
]
"type" => array:2 [
"fr" => "Rapporteur"
"en" => "Thesis referee"
]
"institution" => array:2 [
"fr" => "Conservatoire National des Arts & Métiers (CNAM)"
"en" => "Conservatoire National des Arts & Métiers (CNAM)"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
34 => Essec\Faculty\Model\TeachingItem {#2328
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2007"
"endDate" => "2007"
"program" => null
"label" => array:2 [
"fr" => "“PLS (Partial Least Squares) Path Modeling” – 11ème Cours du programme ECAS (European Courses in Advanced Statistics) sur le thème: “Structural Equation Models”"
"en" => "“PLS (Partial Least Squares) Path Modeling” – 11th Course in the ECAS (European Courses in Advanced Statistics) Program on the theme: “Structural Equation Models”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Université Grenoble Alpes"
"en" => "Université Grenoble Alpes"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
35 => Essec\Faculty\Model\TeachingItem {#2331
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2001"
"endDate" => "2006"
"program" => null
"label" => array:2 [
"fr" => "“PLS Methods: from regression to structural equation models” – course pour le "Master in Quantitative Methods for the Social Research and the Market Analysis" de University of Naples “Federico II”"
"en" => "“PLS Methods: from regression to structural equation models” – course for the Master in Quantitative Methods for the Social Research and the Market Analysis of the University of Naples “Federico II”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
36 => Essec\Faculty\Model\TeachingItem {#2332
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2005"
"endDate" => "2005"
"program" => null
"label" => array:2 [
"fr" => "“The Classical (ML) and the Partial Least Squares Approaches to Study Causality Relationships by Structural Equation Modeling”– Séminaire de Finance Quantitative"
"en" => "“The Classical (ML) and the Partial Least Squares Approaches to Study Causality Relationships by Structural Equation Modeling”– Quantitative Finance Seminar"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Humboldt-Universität zu Berlin"
"en" => "Humboldt-Universität zu Berlin"
]
"country" => array:2 [
"fr" => "Allemagne"
"en" => "Germany"
]
]
+lang: "en"
}
37 => Essec\Faculty\Model\TeachingItem {#2333
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2005"
"endDate" => "2005"
"program" => null
"label" => array:2 [
"fr" => "“The Classical Approach (SEM-ML) to the Study of Causality by Modeling Structural Relationships between Latent Variables”– Atelier Statistique de la Société Française de Statistique “Modèles structurels et applications”"
"en" => "“The Classical Approach (SEM-ML) to the Study of Causality by Modeling Structural Relationships between Latent Variables”– Statistics Workshop of the Société Française de Statistique “Modèles structurels et applications”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Société Française de Statistique (SFdS)"
"en" => "Société Française de Statistique (SFdS)"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "en"
}
38 => Essec\Faculty\Model\TeachingItem {#2334
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2005"
"endDate" => "2005"
"program" => null
"label" => array:2 [
"fr" => "“The PLS approach to the analysis of latent variables: regression techniques (PLS1, PLS2), analysis of disjoint matrices (L-PLS, U-PLS)and multiblock analysis by means of causal networks (PLS-PM, Domino PLS)” – Course on “Sensory Evaluation of Food Products: test planning and data analysis” Italian Society of Sensory Sciences"
"en" => "“The PLS approach to the analysis of latent variables: regression techniques (PLS1, PLS2), analysis of disjoint matrices (L-PLS, U-PLS)and multiblock analysis by means of causal networks (PLS-PM, Domino PLS)” – Course on “Sensory Evaluation of Food Products: test planning and data analysis” Italian Society of Sensory Sciences"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Italian Sensory Sciences Society (SISS)"
"en" => "Italian Sensory Sciences Society (SISS)"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
39 => Essec\Faculty\Model\TeachingItem {#2335
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2004"
"endDate" => "2004"
"program" => null
"label" => array:2 [
"fr" => "Use of PLS Graph for the European Customer Satisfaction Index – PLS Summer School, Technical University of Berlin"
"en" => "Use of PLS Graph for the European Customer Satisfaction Index – PLS Summer School, Technical University of Berlin"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Technische Universität Berlin"
"en" => "Technische Universität Berlin"
]
"country" => array:2 [
"fr" => "Allemagne"
"en" => "Germany"
]
]
+lang: "en"
}
40 => Essec\Faculty\Model\TeachingItem {#2336
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2004"
"endDate" => "2004"
"program" => null
"label" => array:2 [
"fr" => "PLS Model Evaluation and Comparisons with LISREL – PLS Summer School, Technical University of Berlin"
"en" => "PLS Model Evaluation and Comparisons with LISREL – PLS Summer School, Technical University of Berlin"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Technische Universität Berlin"
"en" => "Technische Universität Berlin"
]
"country" => array:2 [
"fr" => "Allemagne"
"en" => "Germany"
]
]
+lang: "en"
}
41 => Essec\Faculty\Model\TeachingItem {#2337
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#_id: null
#_source: array:7 [
"startDate" => "2004"
"endDate" => "2004"
"program" => null
"label" => array:2 [
"fr" => "A Modeling Approach for measuring Customer Satisfaction – Cours de Statistiques à la Faculté de Sciences Politiques, University of Macerata"
"en" => "A Modeling Approach for measuring Customer Satisfaction – Statistics course at the Faculty of Political Sciences, University of Macerata"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Macerata"
"en" => "Università di Macerata"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
42 => Essec\Faculty\Model\TeachingItem {#2340
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2003"
"endDate" => "2003"
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"label" => array:2 [
"fr" => "PLS (Partial Least Squares) methods: from regression to structural equations models – Master in Quantitative Methods for Social Research and Market Analysis , Department of Mathematics and Statistics"
"en" => "PLS (Partial Least Squares) methods: from regression to structural equations models – Master in Quantitative Methods for Social Research and Market Analysis , Department of Mathematics and Statistics"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
43 => Essec\Faculty\Model\TeachingItem {#2338
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#_id: null
#_source: array:7 [
"startDate" => "2003"
"endDate" => "2003"
"program" => null
"label" => array:2 [
"fr" => "PLS (Partial Least Squares) Path Modeling: Methodological Innovations, the use of PLS-SPAD software and applications to the Customer Satisfaction Index – (avec Y.M. Chatelin) Tutoriel à PLS and Related Methods – Focus on Customers Conference (Lisbonne, 16 Septembre 2003)."
"en" => "PLS (Partial Least Squares) Path Modeling: Methodological Innovations, the use of PLS-SPAD software and applications to the Customer Satisfaction Index – (with Y.M. Chatelin) Tutorial at the PLS and Related Methods – Focus on Customers Conference (Lisbon, September, 16th 2003)."
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "International Conference on Partial Least Squares and Related Methods"
"en" => "International Conference on Partial Least Squares and Related Methods"
]
"country" => array:2 [
"fr" => "Portugal"
"en" => "Portugal"
]
]
+lang: "en"
}
44 => Essec\Faculty\Model\TeachingItem {#2339
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2003"
"endDate" => "2003"
"program" => null
"label" => array:2 [
"fr" => "Latent Variables Soft Modeling (PLS) – séries de cours à l'IASC-IFCS Joint International Summer School on Classification and Data Mining in Business, Industry and Applied Research: Methodological and Computational Issues"
"en" => "Latent Variables Soft Modeling (PLS) – series of lectures at the IASC-IFCS Joint International Summer School on Classification and Data Mining in Business, Industry and Applied Research: Methodological and Computational Issues"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "International Association for Statistical Computing (IASC)"
"en" => "International Association for Statistical Computing (IASC)"
]
"country" => array:2 [
"fr" => "Portugal"
"en" => "Portugal"
]
]
+lang: "en"
}
45 => Essec\Faculty\Model\TeachingItem {#2341
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2003"
"endDate" => "2003"
"program" => null
"label" => array:2 [
"fr" => "The LISREL and the PLS approach to Structural Equation Modeling – serie de séminaires pour le Doctorat en Statistiques et le Doctorat en Informatique de Universitat Politecnica de Catalunya"
"en" => "The LISREL and the PLS approach to Structural Equation Modeling – series of seminars at the Doctorate in Statistics and the Doctorate in Informatics of the Universitat Politecnica de Catalunya"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Universitat Politècnica de Catalunya"
"en" => "Universitat Politècnica de Catalunya"
]
"country" => array:2 [
"fr" => "Espagne"
"en" => "Spain"
]
]
+lang: "en"
}
46 => Essec\Faculty\Model\TeachingItem {#2342
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#_id: null
#_source: array:7 [
"startDate" => "2001"
"endDate" => "2001"
"program" => null
"label" => array:2 [
"fr" => "LISREL and PLS Path Modeling – series of lectures at the IASC-IASS Joint International Summer School on Knowledge Discovery & Large Surveys Design and Analysis"
"en" => "LISREL and PLS Path Modeling – series of lectures at the IASC-IASS Joint International Summer School on Knowledge Discovery & Large Surveys Design and Analysis"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "International Association for Statistical Computing (IASC)"
"en" => "International Association for Statistical Computing (IASC)"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
47 => Essec\Faculty\Model\TeachingItem {#2343
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#_id: null
#_source: array:7 [
"startDate" => "2001"
"endDate" => "2001"
"program" => null
"label" => array:2 [
"fr" => "Explanatory Analyses – Module du cours sur l'analyse de données multidimensionnelle pour le Master en Marketing, LUISS Management University"
"en" => "Explanatory Analyses – module of the course on Multidimensional Data Analysis for the Master in Marketing of the LUISS Management University"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Luiss University"
"en" => "Luiss University"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
48 => Essec\Faculty\Model\TeachingItem {#2344
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#_id: null
#_source: array:7 [
"startDate" => "2000"
"endDate" => "2000"
"program" => null
"label" => array:2 [
"fr" => "The analysis of complex systems in Epidemiology and Biomedicine –Cours pour la Post-Graduate School on Biostatistics for Clinical and Epidemiological Research by the Faculty of Medicine of the University of Naples Federico II"
"en" => "The analysis of complex systems in Epidemiology and Biomedicine – course in the Post-Graduate School on Biostatistics for Clinical and Epidemiological Research by the Faculty of Medicine of the University of Naples Federico II"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
49 => Essec\Faculty\Model\TeachingItem {#2347
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#_id: null
#_source: array:7 [
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"endDate" => "2000"
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"fr" => "Analysts of Scenarios on International Markets (post-graduate course). Module Statistiques"
"en" => "Analysts of Scenarios on International Markets (post-graduate course). Statistics module"
]
"type" => array:2 [
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"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
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"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
50 => Essec\Faculty\Model\TeachingItem {#2345
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "1999"
"endDate" => "1999"
"program" => null
"label" => array:2 [
"fr" => "Multivariate Statistical Analyses for Total Quality Measurement – séries de cours à la V International Summer School in Computational Statistics organisé par IASC sur le thème: 3rd Millenium Challenge for Industrial Statistics"
"en" => "Multivariate Statistical Analyses for Total Quality Measurement – series of lectures at the V International Summer School in Computational Statistics organised by IASC on the theme: 3rd Millenium Challenge for Industrial Statistics"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "International Association for Statistical Computing (IASC)"
"en" => "International Association for Statistical Computing (IASC)"
]
"country" => array:2 [
"fr" => "Grèce"
"en" => "Greece"
]
]
+lang: "en"
}
51 => Essec\Faculty\Model\TeachingItem {#2348
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "1998"
"endDate" => "1998"
"program" => null
"label" => array:2 [
"fr" => "Experts of Tourism Marketing (post-graduate course). Module Statistiques"
"en" => "Experts of Tourism Marketing (post-graduate course). Statistics module"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
52 => Essec\Faculty\Model\TeachingItem {#2349
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#_id: null
#_source: array:7 [
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"endDate" => "1998"
"program" => null
"label" => array:2 [
"fr" => "Experts of Typical Food Products Marketing (post-graduate course). Module Statistiques"
"en" => "Experts of Typical Food Products Marketing (post-graduate course). Statistics module"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
53 => Essec\Faculty\Model\TeachingItem {#2350
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "1997"
"endDate" => "1997"
"program" => null
"label" => array:2 [
"fr" => "Experts in Quality Management for Small Enterprises (post-graduate course). Module Statistiques"
"en" => "Experts in Quality Management for Small Enterprises (post-graduate course). Statistics module"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
54 => Essec\Faculty\Model\TeachingItem {#2351
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "1997"
"endDate" => "1997"
"program" => null
"label" => array:2 [
"fr" => "Market Analysts: Methodologies and Experiences supporting Small Enterprises (post-graduate course). Module Statistiques"
"en" => "Market Analysts: Methodologies and Experiences supporting Small Enterprises (post-graduate course). Statistics module"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
}
55 => Essec\Faculty\Model\TeachingItem {#2346
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}
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"fr" => "Organisateur du 2e "ESSEC-HEC Research Workshop Series" sur “PLS Developments”: Structural Equation Models, PLs Path Modeling and Multi-block Techniques in Sensory and Consumer Analysis - Methods, Applications and Software (Cergy-Pontoise)"
"en" => "Organiser of the Second Workshop in the ESSEC-HEC Research WorkshopSeries on "PLS Developments": Structural Equation Models, PLs PathModeling and Multi-block Techniques in Sensory and Consumer Analysis -Methods, Applications and Software""
]
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"fr" => null
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]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
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}
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#_index: null
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"fr" => "Membre du comité international scientifique : PLS’07, 5th International Symposium on PLS and Related Methods – Causalities explored by indirect observations (Oslo)"
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]
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"fr" => null
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]
"country" => array:2 [
"fr" => "Finlande"
"en" => "Finland"
]
]
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}
23 => Essec\Faculty\Model\ExtraActivity {#2241
#_index: null
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]
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"fr" => null
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]
"country" => array:2 [
"fr" => "Portugal"
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]
]
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}
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"en" => "Organiser of the First Workshop in the ESSEC-HEC Research Workshop Series on "PLS Developments": PLS Path Modeling in presence of a GroupStructure: Multi-Group Analysis and Latent Class Detection - Methods, Applications and Software""
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]
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"fr" => "France"
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]
]
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}
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"fr" => "Membre du comité scientifique : CLADAG School sur le thème “Multivariate Statistical Methods for the Analysis of Clustered Data” (Bologne)"
"en" => "Membre du comité scientifique : CLADAG School sur le thème “Multivariate Statistical Methods for the Analysis of Clustered Data” (Bologne)"
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"fr" => null
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]
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"fr" => "Italie"
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]
]
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}
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"fr" => "Président du comité de programme de l'IASC (International Association for Statistical Computing) : 56e ISI (International Statistical Institute) Conference (Lisbonne)"
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]
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]
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}
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]
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]
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}
28 => Essec\Faculty\Model\ExtraActivity {#2246
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]
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]
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}
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]
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]
"country" => array:2 [
"fr" => "Slovénie"
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]
]
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}
30 => Essec\Faculty\Model\ExtraActivity {#2248
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"en" => "Co-organiser (with C. Lauro) of the PLS track sessions for the 3rd World Conference of IASC on the theme of: Computational Statistics and Data Analysis (Cyprus, October 2005)"
]
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"fr" => null
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]
"country" => array:2 [
"fr" => "Chypre"
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]
]
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}
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"fr" => "Member du comité directeur : PLS’05, 4e International Symposium on PLS and Related Methods, (Barcelona)"
"en" => "Member of the Steering Committee for PLS'05, 4th International Symposium on PLS and Related Methods - Focus on Marketing"
]
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"fr" => null
"en" => null
]
"country" => array:2 [
"fr" => "Espagne"
"en" => "Spain"
]
]
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}
32 => Essec\Faculty\Model\ExtraActivity {#2250
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"en" => "Organiser of an Invited Paper Meeting on: "The PLS (Partial Least Squares) Approach in Data Analysis: new methods with validation and computational issues" for ISI'05 Conference (Sydney, April 2005)."
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"institution" => array:2 [
"fr" => null
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]
"country" => array:2 [
"fr" => "Australie"
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]
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}
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]
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]
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}
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"en" => "Co-organiser (with C. Lauro) of two Specialised Sessions on: "PLS Path Modeling, PLS Regression and Classification: New Methods and Applications" for the GfKl'05 Meeting of the Gesellschaft für Klassifikation"
]
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]
"country" => array:2 [
"fr" => "Allemagne"
"en" => "Germany"
]
]
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+"parent": Essec\Faculty\Model\Profile {#2216}
}
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"en" => "Organiser and Chairman of the Workshop on: "PLS Methods for Sensory Analysis" at the "European Conference on Sensory Science of Food and Beverages" (Florence, September 2004)."
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"en" => null
]
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]
]
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}
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"en" => "Organiser and chairman of an invited session on the theme: "PLS Tools forRegression and Structural Modelling of Complex High Dimensional Data" at the COMPSTAT'04 Conference (Prague, August 2004)."
]
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]
"country" => array:2 [
"fr" => "République tchèque"
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]
]
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}
37 => Essec\Faculty\Model\ExtraActivity {#2255
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"en" => null
]
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]
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}
38 => Essec\Faculty\Model\ExtraActivity {#2256
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"en" => "Scientific Programme Committee Member of the SAS Campus 2004 Conference (Florence, May 2004). Programme Committee Member for the"
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]
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]
]
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}
39 => Essec\Faculty\Model\ExtraActivity {#2257
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"en" => "Co-chairman of the Third International Symposium on PLS and Related Methods - Focus on Customers (PLS'03, Lisbon, 15-17 September 2003)."
]
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]
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]
]
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}
40 => Essec\Faculty\Model\ExtraActivity {#2258
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"fr" => "Membre du comité organisateur : IASC-IFCS Summer School sur le thème “Data Mining and Classification for Business and Industry: methods, computational issues and applications” (Lisbonne)"
"en" => "Programme Committee Member for the organisation of the IASC-IFCS Summer School on the theme: "Data Mining and Classification for Business and Industry: methods, computational issues and applications""
]
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"fr" => null
"en" => null
]
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"en" => "Portugal"
]
]
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}
41 => Essec\Faculty\Model\ExtraActivity {#2259
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]
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"en" => "Organisateur d'une "invited session" spécialisée sur le thème “PLS Structural Equation Modelling and Customer Satisfaction: Recent Advances in Methods and Applications” at the 13th International Meeting of the Psychometric Society (IMPS203) and 68th Annual American Meeting of the Psychometric Society (Chia Laguna)"
]
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"fr" => null
"en" => null
]
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"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "en"
+"parent": Essec\Faculty\Model\Profile {#2216}
}
42 => Essec\Faculty\Model\ExtraActivity {#2260
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#_id: null
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"endDate" => "2003-06-11"
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]
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2 => Essec\Faculty\Model\These {#2376
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3 => Essec\Faculty\Model\These {#2377
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4 => Essec\Faculty\Model\These {#2378
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5 => Essec\Faculty\Model\These {#2379
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"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
1 => Essec\Faculty\Model\Contribution {#2384
#_index: "academ_contributions"
#_id: "1420"
#_source: array:18 [
"id" => "1420"
"slug" => "is-environmental-management-an-economically-sustainable-business"
"yearMonth" => "2014-11"
"year" => "2014"
"title" => "Is Environmental Management an Economically Sustainable Business?"
"description" => "GOTSCHOL, A., DE GIOVANNI, P. et ESPOSITO VINZI, V. (2014). Is Environmental Management an Economically Sustainable Business? <i>Journal of Environmental Management</i>, 144(1), pp. 73-82."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "GOTSCHOL A."
]
2 => array:1 [
"name" => "DE GIOVANNI Pietro"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Green supply chain management"
1 => "Green production"
2 => "Environmental performance"
3 => "Economic performance"
4 => "Structural equation modeling"
]
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://www.sciencedirect.com/science/article/pii/S0301479714002266"
"publicationInfo" => array:3 [
"pages" => "73-82"
"volume" => "144"
"number" => "1"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "This paper investigates whether environmental management is an economically sustainable business. While firms invest in green production and green supply chain activities with the primary purpose of reducing their environmental impact, the reciprocal relationships with economic performance need to be clarified. We found out that environmental management positively influences economic performance as second order (long term) target, to be reached conditioned by higher environmental performance; in addition, firms can increase their performance if they reinvest the higher economic value gained through environmental management in green practices. While investing in environmental management programs is a short term strategy, economic rewards can be obtained only with some delays. Consequently, environmental management is an economically sustainable business only for patient firms. In the evaluation of these reciprocal relationships, we discovered that green supply chain initiatives are more effective and more economically sustainable than internal actions."
"en" => "This paper investigates whether environmental management is an economically sustainable business. While firms invest in green production and green supply chain activities with the primary purpose of reducing their environmental impact, the reciprocal relationships with economic performance need to be clarified. We found out that environmental management positively influences economic performance as second order (long term) target, to be reached conditioned by higher environmental performance; in addition, firms can increase their performance if they reinvest the higher economic value gained through environmental management in green practices. While investing in environmental management programs is a short term strategy, economic rewards can be obtained only with some delays. Consequently, environmental management is an economically sustainable business only for patient firms. In the evaluation of these reciprocal relationships, we discovered that green supply chain initiatives are more effective and more economically sustainable than internal actions."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
2 => Essec\Faculty\Model\Contribution {#2386
#_index: "academ_contributions"
#_id: "1421"
#_source: array:18 [
"id" => "1421"
"slug" => "is-investing-in-social-media-really-worth-it-how-brand-actions-and-user-actions-influence-brand-value"
"yearMonth" => "2016-06"
"year" => "2016"
"title" => "Is Investing in Social Media Really Worth It? How Brand Actions and User Actions Influence Brand Value"
"description" => "COLICEV, A., O'CONNOR, P. et ESPOSITO VINZI, V. (2016). Is Investing in Social Media Really Worth It? How Brand Actions and User Actions Influence Brand Value. <i>Service Science</i>, 8(2), pp. 152-168."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "COLICEV A."
]
2 => array:1 [
"name" => "O'CONNOR Peter"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Social media"
1 => "Branding"
2 => "Brand value"
3 => "Partial least squares (PLS)"
4 => "Return on investment"
]
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://pubsonline.informs.org/doi/10.1287/serv.2016.0143"
"publicationInfo" => array:3 [
"pages" => "152-168"
"volume" => "8"
"number" => "2"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Although previous studies have documented a positive link between traditional media and brand performance, how social media is related to brand value has not yet been comprehensively explored. We propose a conceptual model to address this research gap, collecting a unique data set that captures information on user and brand actions on three social media platforms (Facebook, Twitter, and YouTube), word-of-mouth, and brand value for 87 brands in 17 industries. We empirically test our model with partial least squares path modeling (PLS-PM). First, we test the direct effects and find that user actions on YouTube and brand actions on Facebook have a positive influence on brand value. Second, we enrich our model by including word-of-mouth as a mediator, finding that the effect of social media goes above and beyond pure word-of-mouth spread. We test for alternative models, by first accounting for sample heterogeneity and second by including brand strength as a control variable, finding that the main model results’ are indeed robust. Our study demonstrates that making use of social media positively relates to brand value, as well as validates a set of objective metrics to measure social media actions, thus advancing knowledge on social media marketing for both academics and practitioners."
"en" => "Although previous studies have documented a positive link between traditional media and brand performance, how social media is related to brand value has not yet been comprehensively explored. We propose a conceptual model to address this research gap, collecting a unique data set that captures information on user and brand actions on three social media platforms (Facebook, Twitter, and YouTube), word-of-mouth, and brand value for 87 brands in 17 industries. We empirically test our model with partial least squares path modeling (PLS-PM). First, we test the direct effects and find that user actions on YouTube and brand actions on Facebook have a positive influence on brand value. Second, we enrich our model by including word-of-mouth as a mediator, finding that the effect of social media goes above and beyond pure word-of-mouth spread. We test for alternative models, by first accounting for sample heterogeneity and second by including brand strength as a control variable, finding that the main model results’ are indeed robust. Our study demonstrates that making use of social media positively relates to brand value, as well as validates a set of objective metrics to measure social media actions, thus advancing knowledge on social media marketing for both academics and practitioners."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
3 => Essec\Faculty\Model\Contribution {#2383
#_index: "academ_contributions"
#_id: "6269"
#_source: array:18 [
"id" => "6269"
"slug" => "knowledge-extraction-through-predictive-path-modeling"
"yearMonth" => "2012-08"
"year" => "2012"
"title" => "Knowledge Extraction Through Predictive Path Modeling"
"description" => "ESPOSITO VINZI, V. (2012). Knowledge Extraction Through Predictive Path Modeling. Dans: 20th International Conference on Computational Statistics 2012."
"authors" => array:1 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
]
"ouvrage" => "20th International Conference on Computational Statistics 2012"
"keywords" => []
"updatedAt" => "2021-04-19 17:57:25"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => null
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Communications dans une conférence"
"en" => "Presentations at an Academic or Professional conference"
]
"support_type" => array:2 [
"fr" => null
"en" => null
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => null
"en" => null
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
4 => Essec\Faculty\Model\Contribution {#2387
#_index: "academ_contributions"
#_id: "2023"
#_source: array:18 [
"id" => "2023"
"slug" => "mapping-corporate-responsibility-and-sustainable-supply-chains-an-exploratory-perspective"
"yearMonth" => "2012-12"
"year" => "2012"
"title" => "Mapping Corporate Responsibility and Sustainable Supply Chains: An Exploratory Perspective"
"description" => "CARBONE, V., MOATTI, V. et ESPOSITO VINZI, V. (2012). Mapping Corporate Responsibility and Sustainable Supply Chains: An Exploratory Perspective. <i>Business Strategy and the Environment</i>, 21(7), pp. 475-494."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "CARBONE V."
]
2 => array:1 [
"name" => "MOATTI V."
]
]
"ouvrage" => ""
"keywords" => array:6 [
0 => "Corporate social responsability (CSR)"
1 => "Corporate environmental responsability (CER)"
2 => "Sustainable development"
3 => "Supply chain management"
4 => "Longtudinal study"
5 => "Socially responsible investment (SRI)"
]
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.1736"
"publicationInfo" => array:3 [
"pages" => "475-494"
"volume" => "21"
"number" => "7"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Corporate responsibility (CR) in general, and sustainable supply chain management in particular, have been a growing concern for companies and researchers over the past decade. However, in scholarly work, sustainability has often been dealt with in a generic fashion or from an anecdotal point of view. Further, research works examining CR on the one hand and sustainable supply chains on the other have been conducted separately. We undertake the multiple factor analysis of a CR rating database (Innovest) which reports longitudinal scores for both the social and environmental performance of 1198 companies in different countries and distinct industries, to demonstrate a strong relationship between CR and a sustainable supply chain. Our findings from exploratory analysis also illustrate the role of country of origin and industry in shaping CR behavior, highlighting isomorphic as well as allomorphic trends for CR trough time."
"en" => "Corporate responsibility (CR) in general, and sustainable supply chain management in particular, have been a growing concern for companies and researchers over the past decade. However, in scholarly work, sustainability has often been dealt with in a generic fashion or from an anecdotal point of view. Further, research works examining CR on the one hand and sustainable supply chains on the other have been conducted separately. We undertake the multiple factor analysis of a CR rating database (Innovest) which reports longitudinal scores for both the social and environmental performance of 1198 companies in different countries and distinct industries, to demonstrate a strong relationship between CR and a sustainable supply chain. Our findings from exploratory analysis also illustrate the role of country of origin and industry in shaping CR behavior, highlighting isomorphic as well as allomorphic trends for CR trough time."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
5 => Essec\Faculty\Model\Contribution {#2381
#_index: "academ_contributions"
#_id: "2069"
#_source: array:18 [
"id" => "2069"
"slug" => "modeling-a-causality-network-for-tourism-an-empirical-analysis"
"yearMonth" => "2011-11"
"year" => "2011"
"title" => "Modeling a Causality Network for Tourism: An Empirical Analysis"
"description" => "ASSAKER, G., ESPOSITO VINZI, V. et O'CONNOR, P. (2011). Modeling a Causality Network for Tourism: An Empirical Analysis. <i>Journal of Modelling in Management</i>, 6(3), pp. 258-278."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "ASSAKER Guy"
]
2 => array:1 [
"name" => "O'CONNOR Peter"
]
]
"ouvrage" => ""
"keywords" => array:6 [
0 => "Covariance-based structural equation modeling"
1 => "Reflective indicators"
2 => "Formative indicators"
3 => "Tourism development"
4 => "Tourism"
5 => "Forecasting"
]
"updatedAt" => "2021-02-09 11:57:54"
"publicationUrl" => "https://www.emerald.com/insight/content/doi/10.1108/17465661111183685/full/html"
"publicationInfo" => array:3 [
"pages" => "258-278"
"volume" => "6"
"number" => "3"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Le but de cet article est de capturer les relations causales entre les constituants principaux du paradigme de destination du tourisme – à savoir, l'économie, la société et les environnements naturels et infra structuraux– et la demande pour le tourisme à cette destination. L'étude utilise la méthodologie de l’équation structurelle modélisante (SEM) avec un échantillon de données croisées de 162 pays, afin d'évaluer les mesures proposées a priori et les modèles structurels. Les résultats indiquent que bien que les données construites sur l'économie se sont avérées comme n’ayant aucune influence directe sur le tourisme, il y a vraiment un impact positif sur le tourisme par le biais sociétal et environnemental, le sociétal parallèlement à l'infrastructure. De plus, la société et l'environnement se sont avérés avoir un impact direct et positif sur la génération d’activités touristiques et de revenus."
"en" => "The purpose of this paper is to capture the causal relationships between the primary constituents of the tourism destination paradigm – namely, the economy, society, and the natural and infrastructural environments – and demand for tourism at that destination. The study uses structural equation modeling (SEM) methodologies with a cross-sectional data sample from 162 countries, to evaluate a priori proposed measurement and structural models. The results indicate that although the economy construct was found to have no direct influence on tourism, it does have a mediating, positive impact on tourism through the society and environment constructs, with the society construct paralleling the condition of the infrastructure. Moreover, society and environment were found to have a direct, positive impact on generating tourism activities, and revenues."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
6 => Essec\Faculty\Model\Contribution {#2385
#_index: "academ_contributions"
#_id: "2103"
#_source: array:18 [
"id" => "2103"
"slug" => "non-symmetrical-composite-based-path-modeling"
"yearMonth" => "2017-11"
"year" => "2017"
"title" => "Non-Symmetrical Composite-Based Path Modeling"
"description" => "DOLCE, P., ESPOSITO VINZI, V. et LAURO, N.C. (2017). Non-Symmetrical Composite-Based Path Modeling. <i>Advances in Data Analysis and Classification</i>, 12(4), pp. 759-784."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "DOLCE P."
]
2 => array:1 [
"name" => "LAURO N.-C."
]
]
"ouvrage" => ""
"keywords" => array:3 [
0 => "PLS path modeling"
1 => "Non-symmetrical analysis"
2 => "Predictive composite-based methods"
]
"updatedAt" => "2021-09-24 10:33:27"
"publicationUrl" => "https://link.springer.com/article/10.1007/s11634-017-0302-1"
"publicationInfo" => array:3 [
"pages" => "759-784"
"volume" => "12"
"number" => "4"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => """
Partial least squares path modeling presents some inconsistencies in terms of coherence with the predictive directions specified in the inner model (i.e. the path\n
directions), because the directions of the links in the inner model are not taken into account in the iterative algorithm. In fact, the procedure amplifies interdependence among blocks and fails to distinguish between dependent and explanatory blocks. The method proposed in this paper takes into account and respects the specified path directions, with the aim of improving the predictive ability of the model and to maintain the hypothesized theoretical inner model. To highlight its properties, the proposed method is compared to the classical PLS path modeling in terms of explained variability, predictive relevance and interpretation using artificial data through a real data application. A further development of the method allows to treat multi-dimensional blocks in composite-based path modeling.
"""
"en" => "Partial least squares path modeling presents some inconsistencies in terms of coherence with the predictive directions specified in the inner model (i.e. the path directions), because the directions of the links in the inner model are not taken into account in the iterative algorithm. In fact, the procedure amplifies interdependence among blocks and fails to distinguish between dependent and explanatory blocks. The method proposed in this paper takes into account and respects the specified path directions, with the aim of improving the predictive ability of the model and to maintain the hypothesized theoretical inner model. To highlight its properties, the proposed method is compared to the classical PLS path modeling in terms of explained variability, predictive relevance and interpretation using artificial data through a real data application. A further development of the method allows to treat multi-dimensional blocks in composite-based path modeling."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
7 => Essec\Faculty\Model\Contribution {#2388
#_index: "academ_contributions"
#_id: "2194"
#_source: array:18 [
"id" => "2194"
"slug" => "partial-least-squares-algorithms-and-methods"
"yearMonth" => "2014-11"
"year" => "2014"
"title" => "Partial Least Squares Algorithms and Methods"
"description" => "ESPOSITO VINZI, V. et RUSOLILLO, G. (2014). Partial Least Squares Algorithms and Methods. <i>Wires Computational Statistics</i>, 5, pp. 1-19."
"authors" => array:2 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "RUSOLILLO G."
]
]
"ouvrage" => ""
"keywords" => array:3 [
0 => "Modèles à équations structurelles"
1 => "Régression"
2 => "Tableaux multiples"
]
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://doi.org/10.1002/wics.1239"
"publicationInfo" => array:3 [
"pages" => "1-19"
"volume" => "5"
"number" => null
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Partial least squares (PLS) refers to a set of iterative algorithms based on least squares that implement a broad spectrum of both explanatory and exploratory multivariate techniques, from regression to path modeling, and from principal component to multi-block data analysis. This article focuses on PLS regression and PLS path modeling, which are PLS approaches to regularized regression and to predictive path modeling. The computational flows and the optimization criteria of these methods are reviewed in detail, as well as the tools for the assessment and interpretation of PLS models. The most recent developments and some of the most promising on going researches are enhanced."
"en" => "Partial least squares (PLS) refers to a set of iterative algorithms based on least squares that implement a broad spectrum of both explanatory and exploratory multivariate techniques, from regression to path modeling, and from principal component to multi-block data analysis. This article focuses on PLS regression and PLS path modeling, which are PLS approaches to regularized regression and to predictive path modeling. The computational flows and the optimization criteria of these methods are reviewed in detail, as well as the tools for the assessment and interpretation of PLS models. The most recent developments and some of the most promising on going researches are enhanced."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
8 => Essec\Faculty\Model\Contribution {#2389
#_index: "academ_contributions"
#_id: "2329"
#_source: array:18 [
"id" => "2329"
"slug" => "quantile-composite-based-path-modeling"
"yearMonth" => "2016-12"
"year" => "2016"
"title" => "Quantile Composite-Based Path Modeling"
"description" => "DAVINO, C. et ESPOSITO VINZI, V. (2016). Quantile Composite-Based Path Modeling. <i>Advances in Data Analysis and Classification</i>, 10(4), pp. 491-520."
"authors" => array:2 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "DAVINO C."
]
]
"ouvrage" => ""
"keywords" => array:3 [
0 => "Quantile regression"
1 => "PLS path modeling"
2 => "Multi-block data"
]
"updatedAt" => "2021-09-24 10:33:27"
"publicationUrl" => "https://link.springer.com/article/10.1007/s11634-015-0231-9"
"publicationInfo" => array:3 [
"pages" => "491-520"
"volume" => "10"
"number" => "4"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "The paper aims at introducing a quantile approach in the Partial Least Squares path modeling framework. This is a well known composite-based method for the analysis of complex phenomena measurable through a network of relationships among observed and unobserved variables. The proposal intends to enhance potentialities of the Partial Least Squares path models overcoming the classical exploration of average effects. The introduction of Quantile Regression and Correlation in the estimationphases of the model allows highlighting how and if the relationships among observed and unobserved variables change according to the explored quantile of interest. The proposed method is applied to two real datasets in the customer satisfaction measurement and in the sensory analysis framework but it proves to be useful also in other applicative contexts."
"en" => "The paper aims at introducing a quantile approach in the Partial Least Squares path modeling framework. This is a well known composite-based method for the analysis of complex phenomena measurable through a network of relationships among observed and unobserved variables. The proposal intends to enhance potentialities of the Partial Least Squares path models overcoming the classical exploration of average effects. The introduction of Quantile Regression and Correlation in the estimationphases of the model allows highlighting how and if the relationships among observed and unobserved variables change according to the explored quantile of interest. The proposed method is applied to two real datasets in the customer satisfaction measurement and in the sensory analysis framework but it proves to be useful also in other applicative contexts."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
9 => Essec\Faculty\Model\Contribution {#2390
#_index: "academ_contributions"
#_id: "2374"
#_source: array:18 [
"id" => "2374"
"slug" => "rebus-pls-a-response-based-procedure-for-detecting-unit-segments-in-pls-path-modelling"
"yearMonth" => "2008-09"
"year" => "2008"
"title" => "REBUS-PLS: A Response-based Procedure for Detecting Unit Segments in PLS Path Modelling"
"description" => "ESPOSITO VINZI, V., TRINCHERA, L., SQUILLACCIOTTI, S. et TENENHAUS, M. (2008). REBUS-PLS: A Response-based Procedure for Detecting Unit Segments in PLS Path Modelling. <i>Applied Stochastic Models in Business and Industry</i>, 24(5), pp. 439-458."
"authors" => array:4 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "TRINCHERA L."
]
2 => array:1 [
"name" => "SQUILLACCIOTTI S."
]
3 => array:1 [
"name" => "TENENHAUS M."
]
]
"ouvrage" => ""
"keywords" => array:3 [
0 => "Classification"
1 => "Latent Classes"
2 => "Moderating Effects"
]
"updatedAt" => "2020-12-17 17:55:06"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => "439-458"
"volume" => "24"
"number" => "5"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Structural equation models (SEMs) make it possible to estimate the causal relationships, defined according to a theoretical model, linking two or more latent complex concepts, each measured through a number of observable indicators, usually called manifest variables. Traditionally, the component-based estimation of SEMs by means of partial least squares (PLS path modelling, PLS-PM) assumes homogeneity over the observed set of units: all units are supposed to be well represented by a unique model estimated on the overall data set. In many cases, however, it is reasonable to expect classes made of units showing heterogeneous behaviours to exist. Two different kinds of heterogeneity could be affecting the data: observed and unobserved heterogeneity. The first refers to the case of a priori existing classes, whereas in unobserved heterogeneity no information is available either on the number of classes or on their composition. If a group structure for the statistical units is given, the aim of the analysis is to search for any differences in the behaviours of the a priori given classes. In PLS-PM this would mean studying the effect of directly observed moderating variables, i.e. estimating as many (local) models as there are classes. Unobserved heterogeneity, instead, implies identifying classes of units (a priori unknown) having similar behaviours. Such heterogeneity is captured by an unobserved (latent) discrete moderating variable defining both the number of classes and the class membership. A new method for unobserved heterogeneity detection in PLS-PM is proposed in this paper: response-based procedure for detecting unit segments in PLS-PM (REBUS-PLS). REBUS-PLS, according to PLS-PM features, does not require distributional hypotheses and may lead to local models that are different in terms of both structural and measurement models. An application of REBUS-PLS on real data will be shown."
"en" => "Structural equation models (SEMs) make it possible to estimate the causal relationships, defined according to a theoretical model, linking two or more latent complex concepts, each measured through a number of observable indicators, usually called manifest variables. Traditionally, the component-based estimation of SEMs by means of partial least squares (PLS path modelling, PLS-PM) assumes homogeneity over the observed set of units: all units are supposed to be well represented by a unique model estimated on the overall data set. In many cases, however, it is reasonable to expect classes made of units showing heterogeneous behaviours to exist. Two different kinds of heterogeneity could be affecting the data: observed and unobserved heterogeneity. The first refers to the case of a priori existing classes, whereas in unobserved heterogeneity no information is available either on the number of classes or on their composition. If a group structure for the statistical units is given, the aim of the analysis is to search for any differences in the behaviours of the a priori given classes. In PLS-PM this would mean studying the effect of directly observed moderating variables, i.e. estimating as many (local) models as there are classes. Unobserved heterogeneity, instead, implies identifying classes of units (a priori unknown) having similar behaviours. Such heterogeneity is captured by an unobserved (latent) discrete moderating variable defining both the number of classes and the class membership. A new method for unobserved heterogeneity detection in PLS-PM is proposed in this paper: response-based procedure for detecting unit segments in PLS-PM (REBUS-PLS). REBUS-PLS, according to PLS-PM features, does not require distributional hypotheses and may lead to local models that are different in terms of both structural and measurement models. An application of REBUS-PLS on real data will be shown."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
10 => Essec\Faculty\Model\Contribution {#2391
#_index: "academ_contributions"
#_id: "2395"
#_source: array:18 [
"id" => "2395"
"slug" => "refund-depth-effects-on-the-impact-of-price-beating-guarantees"
"yearMonth" => "2012-05"
"year" => "2012"
"title" => "Refund Depth Effects on the Impact of Price-Beating Guarantees"
"description" => "DESMET, P., LE NAGARD, E. et ESPOSITO VINZI, V. (2012). Refund Depth Effects on the Impact of Price-Beating Guarantees. <i>Journal of Business Research</i>, 65(5), pp. 603-608."
"authors" => array:3 [
0 => array:3 [
"name" => "DESMET Pierre"
"bid" => "B00000155"
"slug" => "desmet-pierre"
]
1 => array:3 [
"name" => "LE NAGARD Emmanuelle"
"bid" => "B00000304"
"slug" => "le-nagard-emmanuelle"
]
2 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Price-matching guarantees"
1 => "Price image"
2 => "Retailing"
3 => "Price-beating guarantees"
4 => "Retail pricing"
]
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://doi.org/10.1016/j.jbusres.2011.02.034"
"publicationInfo" => array:3 [
"pages" => "603-608"
"volume" => "65"
"number" => "5"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Refund depth may influence the effectiveness of a price guarantee when a store offers to reimburse customers more than the price difference. Using an experimental study that features real stores with high credibility, this article shows that a simple price-matching guarantee has no effect on either the perceived value of an offer or intentions to visit the store. Low and high penalty levels have smaller effects than intermediate penalties, but the believability of price guarantee offers that contain a penalty remain constant; this finding may reflect a general distrust of additional penalties."
"en" => "Refund depth may influence the effectiveness of a price guarantee when a store offers to reimburse customers more than the price difference. Using an experimental study that features real stores with high credibility, this article shows that a simple price-matching guarantee has no effect on either the perceived value of an offer or intentions to visit the store. Low and high penalty levels have smaller effects than intermediate penalties, but the believability of price guarantee offers that contain a penalty remain constant; this finding may reflect a general distrust of additional penalties."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
11 => Essec\Faculty\Model\Contribution {#2392
#_index: "academ_contributions"
#_id: "6928"
#_source: array:18 [
"id" => "6928"
"slug" => "predictive-component-based-multi-block-path-modeling"
"yearMonth" => "2014-08"
"year" => "2014"
"title" => "Predictive Component-based Multi-block Path Modeling"
"description" => "DOLCE, P., ESPOSITO VINZI, V. et LAURO, C. (2014). Predictive Component-based Multi-block Path Modeling. Dans: 21st International Conference on Computational Statistics."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "DOLCE P."
]
2 => array:1 [
"name" => "LAURO C."
]
]
"ouvrage" => "21st International Conference on Computational Statistics"
"keywords" => []
"updatedAt" => "2021-04-19 17:57:25"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => null
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Communications dans une conférence"
"en" => "Presentations at an Academic or Professional conference"
]
"support_type" => array:2 [
"fr" => null
"en" => null
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => null
"en" => null
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
12 => Essec\Faculty\Model\Contribution {#2393
#_index: "academ_contributions"
#_id: "2597"
#_source: array:18 [
"id" => "2597"
"slug" => "the-benefits-of-a-monitoring-strategy-for-firms-subject-to-the-emissions-trading-system"
"yearMonth" => "2014-12"
"year" => "2014"
"title" => "The Benefits of a Monitoring Strategy for Firms Subject to the Emissions Trading System"
"description" => "DE GIOVANNI, P. et ESPOSITO VINZI, V. (2014). The Benefits of a Monitoring Strategy for Firms Subject to the Emissions Trading System. <i>Transportation Research Part D: Transport and Environment</i>, 33, pp. 220-233."
"authors" => array:2 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "DE GIOVANNI Pietro"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://doi.org/10.1016/j.trd.2014.06.008"
"publicationInfo" => array:3 [
"pages" => "220-233"
"volume" => "33"
"number" => null
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "This study tests the impact of Internal and External Environmental Management on performance in firms subject to the European Union’s Emissions Trading System (ETS). A conceptual model is drawn up based on the existing literature, and tested on a large sample of Italian firms. The unit of analysis is single firms subject to the ETS that are involved in Green Supply Chain Management (GSCM). The ETS mechanism has been shown to be marginally beneficial for some firms while supply chain relationships are also influenced by such system. Firms need to identify suitable practices to boost the effectiveness of their environmental strategies. We propose the implementation of a monitoring strategy as a useful practice for firms to be environmentally and economically better off. Our results show that firms subject to the ETS should rely on their own (internal) Environmental Management alone for improving environmental performance, as collaboration with suppliers only has a positive impact on economic performance. However, implementation of a monitoring strategy allows a firm subject to the ETS to partially offset the inefficiency created by the system. We show that environmental collaboration does not become more effective when a monitoring practice is put in place."
"en" => "This study tests the impact of Internal and External Environmental Management on performance in firms subject to the European Union’s Emissions Trading System (ETS). A conceptual model is drawn up based on the existing literature, and tested on a large sample of Italian firms. The unit of analysis is single firms subject to the ETS that are involved in Green Supply Chain Management (GSCM). The ETS mechanism has been shown to be marginally beneficial for some firms while supply chain relationships are also influenced by such system. Firms need to identify suitable practices to boost the effectiveness of their environmental strategies. We propose the implementation of a monitoring strategy as a useful practice for firms to be environmentally and economically better off. Our results show that firms subject to the ETS should rely on their own (internal) Environmental Management alone for improving environmental performance, as collaboration with suppliers only has a positive impact on economic performance. However, implementation of a monitoring strategy allows a firm subject to the ETS to partially offset the inefficiency created by the system. We show that environmental collaboration does not become more effective when a monitoring practice is put in place."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
13 => Essec\Faculty\Model\Contribution {#2394
#_index: "academ_contributions"
#_id: "2598"
#_source: array:18 [
"id" => "2598"
"slug" => "the-benefits-of-the-emissions-trading-mechanism-for-italian-firms-a-multi-group-analysis"
"yearMonth" => "2014-05"
"year" => "2014"
"title" => "The Benefits of the Emissions Trading Mechanism for Italian Firms: A Multi-Group Analysis"
"description" => "DE GIOVANNI, P. et ESPOSITO VINZI, V. (2014). The Benefits of the Emissions Trading Mechanism for Italian Firms: A Multi-Group Analysis. <i>International Journal of Physical Distribution and Logistics Management</i>, 44(4), pp. 305-324."
"authors" => array:2 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "DE GIOVANNI Pietro"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://www.researchgate.net/publication/262574749_The_benefits_of_the_emissions_trading_mechanism_for_Italian_firms_A_multi-group_analysis"
"publicationInfo" => array:3 [
"pages" => "305-324"
"volume" => "44"
"number" => "4"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "The purpose of this paper is to test the impact of internal and external environmental management (EM) on performance to verify the emission trading (ET) mechanism’s effectiveness. It aims to investigate whether EM that is carried out by ET firms has a higher influence on performance than EM that is carried out by no-ET firms. A conceptual model is drawn up based on the existing literature in green supply chain management (GSCM) and is tested on a large sample of Italian firms. A multi-group analysis in structural equation modeling allows for the estimation of the impact of internal and external EM on economic and environmental performance over the two groups. Firms under ET regime do not perform better than no-ET firms environmentally or economically; moreover, environmental collaboration is significantly less effective for ET firms. Although the ET mechanism has been introduced by the European Union to combat and reduce the emissions, research has shown its marginal effectiveness. Data comprises only data about Italian firms. Items in the questionnaire allow for a two-year lag period. Interviewed firms have been selected according to EM criteria only. Firms subjected to the ET mechanism should find more effective and efficient practices to improve their environmental performance because the ET is marginally beneficial. The findings supply insights to managers about the real effectiveness of ET as well as to decision planners for the development of future sustainable mechanisms."
"en" => "The purpose of this paper is to test the impact of internal and external environmental management (EM) on performance to verify the emission trading (ET) mechanism’s effectiveness. It aims to investigate whether EM that is carried out by ET firms has a higher influence on performance than EM that is carried out by no-ET firms. A conceptual model is drawn up based on the existing literature in green supply chain management (GSCM) and is tested on a large sample of Italian firms. A multi-group analysis in structural equation modeling allows for the estimation of the impact of internal and external EM on economic and environmental performance over the two groups. Firms under ET regime do not perform better than no-ET firms environmentally or economically; moreover, environmental collaboration is significantly less effective for ET firms. Although the ET mechanism has been introduced by the European Union to combat and reduce the emissions, research has shown its marginal effectiveness. Data comprises only data about Italian firms. Items in the questionnaire allow for a two-year lag period. Interviewed firms have been selected according to EM criteria only. Firms subjected to the ET mechanism should find more effective and efficient practices to improve their environmental performance because the ET is marginally beneficial. The findings supply insights to managers about the real effectiveness of ET as well as to decision planners for the development of future sustainable mechanisms."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
14 => Essec\Faculty\Model\Contribution {#2395
#_index: "academ_contributions"
#_id: "2778"
#_source: array:18 [
"id" => "2778"
"slug" => "two-step-pls-regression-for-l-structured-data-an-application-in-the-cosmetic-industry"
"yearMonth" => "2007-08"
"year" => "2007"
"title" => "Two-step PLS Regression for L-structured Data: An Application in the Cosmetic Industry"
"description" => "ESPOSITO VINZI, V., GUINOT, C. et SQUILLACCIOTTI, S. (2007). Two-step PLS Regression for L-structured Data: An Application in the Cosmetic Industry. <i>Statistical Methods and Applications</i>, pp. 263-278."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "GUINOT C."
]
2 => array:1 [
"name" => "SQUILLACCIOTTI S."
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2021-07-13 14:31:02"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => "263-278"
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "The present paper proposes a PLS-based methodology for the study of so called "L" data-structures, where external information on both the rows and the columns of a dependent variable matrix is available. L-structures are frequently encountered in consumer preference analysis. In this domain it may be desirable to study the influence of both product and consumer descriptors on consumer preferences. The proposed methodology has been applied on data from the cosmetic industry. The preference scores from 142 consumers on 9 products were explained with respect to the products' physico-chemical and sensory descriptors, and the consumers' socio-demographic and behavioural characteristics."
"en" => "The present paper proposes a PLS-based methodology for the study of so called "L" data-structures, where external information on both the rows and the columns of a dependent variable matrix is available. L-structures are frequently encountered in consumer preference analysis. In this domain it may be desirable to study the influence of both product and consumer descriptors on consumer preferences. The proposed methodology has been applied on data from the cosmetic industry. The preference scores from 142 consumers on 9 products were explained with respect to the products' physico-chemical and sensory descriptors, and the consumers' socio-demographic and behavioural characteristics."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
15 => Essec\Faculty\Model\Contribution {#2396
#_index: "academ_contributions"
#_id: "8566"
#_source: array:18 [
"id" => "8566"
"slug" => "eurisbis-09-book-of-abstracts"
"yearMonth" => "2009-01"
"year" => "2009"
"title" => "EURISBIS' 09 - Book of Abstracts"
"description" => "MOLA, F., CONVERSANO, C., ESPOSITO VINZI, V. et FISHER, N. (2009). EURISBIS' 09 - Book of Abstracts. Tilapia, Italie."
"authors" => array:4 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "MOLA F."
]
2 => array:1 [
"name" => "CONVERSANO C."
]
3 => array:1 [
"name" => "FISHER N."
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2020-12-17 18:37:46"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => null
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Editeur d'actes de conférence"
"en" => "Conference proceedings editor"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => null
"en" => null
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-06T14:21:42.000Z"
]
+lang: "en"
+"_type": "_doc"
+"_score": 4.4258394
+"parent": null
}
16 => Essec\Faculty\Model\Contribution {#2397
#_index: "academ_contributions"
#_id: "3412"
#_source: array:18 [
"id" => "3412"
"slug" => "assessment-and-validation-in-quantile-composite-based-path-modeling"
"yearMonth" => "2016-12"
"year" => "2016"
"title" => "Assessment and Validation in Quantile Composite-Based Path Modeling"
"description" => "DAVINO, C., ESPOSITO VINZI, V. et DOLCE, P. (2016). Assessment and Validation in Quantile Composite-Based Path Modeling. Dans: <i>The Multiple Facets of Partial Least Squares and Related Methods</i>. 1st ed. Springer, pp. 169-180."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "DAVINO C."
]
2 => array:1 [
"name" => "DOLCE P."
]
]
"ouvrage" => "The Multiple Facets of Partial Least Squares and Related Methods"
"keywords" => []
"updatedAt" => "2021-09-24 10:33:27"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => "169-180"
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Chapitres"
"en" => "Book chapters"
]
"support_type" => array:2 [
"fr" => "Editeur"
"